Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?
AbstractThis article studies predictability in U.S. stock returns for multiple investment horizons. The authors measure to what extent predictability is driven by premiums for economywide risk factors, comparing two standard methods for factor selection. They study single-beta models and multiple-beta models. The authors show how to estimate the fraction of the predictability in returns captured by the model simultaneously with the other parameters. Their analysis indicates that the models capture a large fraction of the predictability for all of the investment horizons. The performance of the principal components and the prespecified-factor approaches are broadly similar. Copyright 1995 by University of Chicago Press.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by University of Chicago Press in its journal Journal of Business.
Volume (Year): 68 (1995)
Issue (Month): 3 (July)
Contact details of provider:
Web page: http://www.journals.uchicago.edu/JB/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Journals Division).
If references are entirely missing, you can add them using this form.